Co-saliency Detection. The traditional CoSOD methods explore the inter-image correspondence between image-pairs [1]}, [2]} or a group of relevant images [3]}, [4]} based on shallow handcrafted descriptors [5]}. Several studies attempt to capture the inter-image constraints by employing an efficient manifold ranking scheme [6]} to obtain guided saliency maps, or using a global association constraint with clustering [7]}.
However, the discrimination of hand-crafted descriptors are too limited to face the complex scenes, leading to unsatisfactory performance.
